Cluster membership
Produces a summary of the membership degree information according to a threshold.
cl.memb.t (U, t)
U |
Membership degree matrix |
t |
Threshold in [0,1] (default: 0) |
An object is assigned to a cluster according to the maximal membership degree provided that such a maximal membership degree is >= t, otherwise it is assumed that an object is not assigned to any cluster (denoted by cluster index = 0 in row 1).
The function can be useful to select the subset of objects clearly assigned to clusters (objects with maximal membership degrees >= t).
info.U |
Matrix containing the indexes of the clusters where the objects are assigned (row 1) and the associated membership degrees (row 2) |
Paolo Giordani, Maria Brigida Ferraro, Alessio Serafini
n=20 k=3 ## randomly generated membership degree matrix U=matrix(runif(n*k,0,1), nrow=n, ncol=k) U=U/apply(U,1,sum) ## threshold t=0.6 info.U=cl.memb.t(U,0.6) ## objects clearly assigned to clusters rownames(info.U[info.U[,1]!=0,])
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